Machine Learning Engineer (Remote)

Quik Hire Staffing; Philippines; Remote; PHP 600,000 - 1,200,000; Full time

Job summary

Quik Hire Staffing seeks a Machine Learning Engineer for a full-time, remote position. You will design, develop, and deploy ML models, collaborating with cross-functional teams to integrate AI solutions into existing systems.

The role emphasizes Python, ML frameworks, and cloud deployment to optimize model performance. The ideal candidate will have strong Python skills, hands-on ML experience, and the ability to work independently in a fast-paced environment while contributing to data pipelines

Qualifications

• Proficiency in Python with experience in ML frameworks (TensorFlow or PyTorch).
• Strong background in data structures, algorithms, and statistical modeling.
• Experience deploying models on cloud platforms (AWS, GCP, Azure).
• Familiarity with SQL and version control (Git) for data prep and collaboration.
• Knowledge of MLOps for monitoring, logging, and CI/CD practices.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

Responsibilities

• Design and implement machine learning models using Python, TensorFlow, or PyTorch.
• Collaborate with data scientists and software engineers to deploy models to production.
• Optimize models for scalability, accuracy, and efficiency in real-world apps.
• Develop and maintain data preprocessing, feature engineering, and training pipelines.
• Conduct experiments to evaluate model performance and iterate based on business needs.

Skills

Python

Data structures

Algorithms

Statistical modeling

MLOps

Independent work

Hyperparameter tuning

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

SQL

Git

Job description

• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a full time basis. The role involves designing, developing, and deploying machine learning models to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. The position requires expertise in Python, machine learning frameworks, and cloud platforms.

Key Responsibilities:

• Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.
• Collaborate with data scientists and software engineers to deploy models into production environments.
• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.
• Develop and maintain pipelines for data preprocessing, feature engineering, and model training.
• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

Required Skills & Qualifications:

• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Strong background in data structures, algorithms, and statistical modeling techniques.
• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
• Knowledge of SQL and databases for data extraction and preprocessing tasks.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.
• Understanding of MLOps practices for model monitoring, logging, and continuous integration.
• Experience with hyperparameter tuning and model optimization techniques.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the technology industry, contributing to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The position involves solving high-impact problems with cutting-edge tools and methodologies.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.